Modeling and managing collective cognitive convergence

Authors:
H. V. Parunak;T. C. Belding;R. Hilscher;S. Brueckner
Affiliations:
NewVectors division of TTGSI, Ann Arbor, MI;NewVectors division of TTGSI, Ann Arbor, MI;NewVectors division of TTGSI, Ann Arbor, MI;NewVectors division of TTGSI, Ann Arbor, MI
Venue:
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
Year:
2008

Citing 1
Cited 4

Global convergence of local agent behaviors

Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems

Understanding Collective Cognitive Convergence

Multi-Agent-Based Simulation IX
A mathematical analysis of collective cognitive convergence

Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Group abstraction for large-scale agent-based social diffusion models with unaffected agents

PRIMA'11 Proceedings of the 14th international conference on Agents in Principle, Agents in Practice
Managing the complexity of large-scale agent-based social diffusion models with different network topologies

PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

When the same people interact frequently, they come to think alike, a phenomenon we call "collective cognitive convergence" (C3). We discuss instances and practical consequences of this phenomenon; review previous work in sociology, computational social science, and evolutionary biology that sheds light on C3; define a computational model and metrics for the convergence process; report on experiments with this model and metrics; and suggest how insights from the model can help manage C3.